To understand how motion and attention contribute to the model's performance and if the results generalize across different backbones we run ablation studies across three backbones: 2D-ResNet18 [1]}, 2D-MobileNetV2 [2]}, and I3D-inflated-Resnet18 [3]}. Specifically, we compared each backbone with no temporal mechanism (None), with M2A but the motion block is removed (M2A-Attention), with M2A but the attention block is removed (M2A-Motion), and with the full M2A mechanism (i.e, with both motion and attention blocks) (M2A). In the tables, the percentage improvement from None is noted in brackets and the best accuracy is bolded.
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